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| Criterion |  Operations Change Analysis |  Growth Funnel Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 45-120 min | 1-3 h | 2-6 h |
Participantsdifferent | 2-6 | 1-5 | 3-10 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Funnel report, Drop-off analysis, Optimization hypotheses | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | AnalyticsConversionGrowth | CausalityIncidentRoot causeTimeline |
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